首页> 外文期刊>Nature biotechnology >Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.Comments Comment in: Nat Rev Genet. 2011 Jun;12(6):382; PMID: 21577224, Comment in: Nat Methods. 2011 Jul;8(7):536; PMID: 21850735
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Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.Comments Comment in: Nat Rev Genet. 2011 Jun;12(6):382; PMID: 21577224, Comment in: Nat Methods. 2011 Jul;8(7):536; PMID: 21850735

机译:RNA的代谢标记揭示了哺乳动物细胞中RNA产生和降解动力学的原理。 2011年6月; 12(6):382; PMID:21577224,注释:Nat方法。 2011年7月; 8(7):536; PMID:21850735

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摘要

Cellular RNA levels are determined by the interplay of RNA production, processing and degradation. However, because most studies of RNA regulation do not distinguish the separate contributions of these processes, little is known about how they are temporally integrated. Here we combine metabolic labeling of RNA at high temporal resolution with advanced RNA quantification and computational modeling to estimate RNA transcription and degradation rates during the response of mouse dendritic cells to lipopolysaccharide. We find that changes in transcription rates determine the majority of temporal changes in RNA levels, but that changes in degradation rates are important for shaping sharp 'peaked' responses. We used sequencing of the newly transcribed RNA population to estimate temporally constant RNA processing and degradation rates genome wide. Degradation rates vary significantly between genes and contribute to the observed differences in the dynamic response. Certain transcripts, including those encoding cytokines and transcription factors, mature faster. Our study provides a quantitative approach to study the integrative process of RNA regulation.
机译:细胞RNA水平由RNA产生,加工和降解的相互作用决定。但是,由于大多数RNA调节研究都没有区分这些过程的单独贡献,因此人们对它们在时间上的整合了解甚少。在这里,我们将高时间分辨率的RNA代谢标记与高级RNA定量和计算模型相结合,以估计小鼠树突状细胞对脂多糖的反应过程中的RNA转录和降解速率。我们发现转录率的变化决定了RNA水平的大部分时间变化,但是降解率的变化对于形成尖锐的“峰值”响应很重要。我们对新转录的RNA群体进行了测序,以估计整个基因组在时间上恒定的RNA加工和降解速率。基因之间的降解率差异很大,并导致观察到的动态响应差异。某些转录本,包括编码细胞因子和转录因子的转录本,会更快地成熟。我们的研究提供了定量的方法来研究RNA调控的整合过程。

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